mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 12 Mar 2023

90 papers

  1. DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image RestorationDiffusion models → Inverse problems and image restoration
  2. Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  3. Accommodating Audio Modality in CLIP for Multimodal ProcessingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  4. Diffusion Models for Non-autoregressive Text Generation: A SurveyDiffusion models → Discrete and text diffusion
  5. Continual Visual Reinforcement Learning with A Life-Long World ModelWorld models → Latent dynamics models and model-based RL
  6. Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  7. DOMINO: Visual Causal Reasoning with Time-Dependent PhenomenaLLM reasoning → Multimodal reasoning
  8. One Transformer Fits All Distributions in Multi-Modal Diffusion at ScaleDiffusion models → Diffusion foundations and sampling
  9. Functional Knowledge Transfer with Self-supervised Representation Learning
  10. Improving the Diproche CNL through Autoformalization via Large Language Models
  11. A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability
  12. Enhanced Iterated local search for the technician routing and scheduling problem
  13. Discovering Hierarchical Process Models: an Approach Based on Events Clustering
  14. Heart Murmur and Abnormal PCG Detection via Wavelet Scattering Transform & a 1D-CNN
  15. Sequential Spatial Network for Collision Avoidance in Autonomous Driving
  16. Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging
  17. AidUI: Toward Automated Recognition of Dark Patterns in User Interfaces
  18. Behavioral Differences is the Key of Ad-hoc Team Cooperation in Multiplayer Games Hanabi
  19. The Planner Optimization Problem: Formulations and Frameworks
  20. Conceptual Modeling and Artificial Intelligence: A Systematic Mapping Study
  21. Modular Quantization-Aware Training for 6D Object Pose Estimation
  22. Raising The Limit Of Image Rescaling Using Auxiliary Encoding
  23. Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography
  24. Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study
  25. Endoscopy Classification Model Using Swin Transformer and Saliency Map
  26. Increasing the usefulness of already existing annotations through WSI registration
  27. Global Optimality of Elman-type RNN in the Mean-Field Regime
  28. Knowledge-integrated AutoEncoder Model
  29. BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving
  30. Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning
  31. Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
  32. Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints
  33. Traj-MAE: Masked Autoencoders for Trajectory Prediction
  34. The tree reconstruction game: phylogenetic reconstruction using reinforcement learning
  35. ALIST: Associative Logic for Inference, Storage and Transfer. A Lingua Franca for Inference on the Web
  36. MizAR 60 for Mizar 50
  37. Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
  38. RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning
  39. PointPatchMix: Point Cloud Mixing with Patch Scoring
  40. LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension
  41. Universal Instance Perception as Object Discovery and Retrieval
  42. SSGD: A smartphone screen glass dataset for defect detection
  43. Extending global-local view alignment for self-supervised learning with remote sensing imagery
  44. Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems
  45. SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks
  46. Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
  47. Scavenger: A Cloud Service for Optimizing Cost and Performance of ML Training
  48. Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method
  49. Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
  50. Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network
  51. General Boolean Formula Minimization with QBF Solvers
  52. Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality
  53. Challenges facing the explainability of age prediction models: case study for two modalities
  54. From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task
  55. Schema Inference for Interpretable Image Classification
  56. Another Generic Setting for Entity Resolution: Basic Theory
  57. MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation
  58. Iterative Geometry Encoding Volume for Stereo Matching
  59. Synthetic Experience Replay
  60. Improve Retrieval-based Dialogue System via Syntax-Informed Attention
  61. Multi-metrics adaptively identifies backdoors in Federated learning
  62. Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communication
  63. Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark
  64. A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
  65. ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
  66. MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation
  67. Proactive Prioritization of App Issues via Contrastive Learning
  68. Improving the Intent Classification accuracy in Noisy Environment
  69. Improving Masked Autoencoders by Learning Where to Mask
  70. Towards General Purpose Medical AI: Continual Learning Medical Foundation Model
  71. Scale-aware Two-stage High Dynamic Range Imaging
  72. A Monkey Swing Counting Algorithm Based on Object Detection
  73. Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
  74. ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
  75. Phase Diagram of Initial Condensation for Two-layer Neural Networks
  76. Gaussian kernels on non-simply-connected closed Riemannian manifolds are never positive definite
  77. Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Models
  78. Energy Regularized RNNs for Solving Non-Stationary Bandit Problems
  79. Spatial Correspondence between Graph Neural Network-Segmented Images
  80. CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution
  81. Towards Universal Vision-language Omni-supervised Segmentation
  82. Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges
  83. Towards Diverse Temporal Grounding under Single Positive Labels
  84. Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift
  85. MetaUE: Model-based Meta-learning for Underwater Image Enhancement
  86. AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design
  87. Automated Design of Metaheuristic Algorithms: A Survey
  88. Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning
  89. Making Batch Normalization Great in Federated Deep Learning
  90. Data Dependent Regret Guarantees Against General Comparators for Full or Bandit Feedback